Platform Engineering Manager

Job DescriptionJob DescriptionDescription

• Platform Architecture & Infrastructure Leadership
  • Lead the design, evolution, and operation of Eagle Eye’s global Kubernetes-based platform across multiple private data centers.
  • Guide architectural decisions around cluster topology, networking, storage systems, compute utilization, and platform scalability.
  • Drive improvements to core platform components including ingress, service mesh, container runtimes, secret management, and automation frameworks.
• Team Leadership & Mentorship
  • Manage, mentor, and grow a team of Platform Engineers, fostering a high-performance, collaborative, and ownership-driven culture.
  • Provide technical leadership through design reviews, roadmap planning, and hands-on guidance.
  • Develop clear engineering expectations, career paths, and a culture of continuous improvement.
• Developer Platform & Tooling
  • Own the internal developer experience — including CI/CD frameworks, deployment tooling, Helm charts, automation pipelines, and environment standardization.
  • Partner with application teams to simplify onboarding, improve reliability, and accelerate feature delivery.
• Observability Platform Ownership
  • Oversee the design and reliability of metrics, logging, and tracing infrastructure used across all EEN services.
  • Ensure observability systems (Prometheus, Grafana, VictoriaMetrics, OpenSearch/VictoriaLogs, etc.) are scalable, well-architected, and aligned to engineering needs.
• Data Systems & Storage Integration
  • Provide technical leadership around the integration, performance, and reliability of large-scale distributed data systems (e.g., durable storage clusters, messaging systems, search/indexing systems, and stateful workloads).
  • Oversee platform support for distributed storage technologies including Ceph and other high-throughput, high-availability storage systems.
  • Ensure the platform and data layers interoperate efficiently across global regions.
• Strategic Planning & Execution
  • Translate company goals into a clear, actionable platform roadmap.
  • Own cross-functional initiatives that improve platform resilience, developer productivity, and operational efficiency.
  • Evaluate emerging technologies and guide strategic bets that move the platform forward

Key Responsibilities

• Experience with large-scale distributed storage (e.g., Ceph) or data platforms (search, messaging, or distributed databases).
• Background with service meshes, advanced networking, or multi-cluster architectures.
• Knowledge of security architecture for Kubernetes and containerized platforms.
• Experience in hybrid or fully private-cloud environments with globally distributed workloads.
• Proficiency in Go, Python, or similar commonly used for platform tools.

Skills, Knowledge and Expertise

• 8+ years of experience in Platform Engineering, Infrastructure Engineering, or a related field, with at least 3 years in a leadership or managerial role.
• Strong hands-on experience with Kubernetes in production, including cluster design, scaling, observability, and platform integrations.
• Deep understanding of distributed systems fundamentals: networking, storage, scheduling, high availability, and stateful workloads.
• Experience leading and mentoring engineers, with proven ability to deliver large-scale platform initiatives.
• Expertise with infrastructure automation (Helm, Terraform, Ansible, GitOps tools, etc.).
• Strong technical communication skills and the ability to influence architecture across teams.
• Experience designing or operating observability platforms.